The integration of omics: A promising approach to personalized tuberculosis treatment DOI Creative Commons
Priyanka Guha, Siddhartha Dutta, Krishna Murti

et al.

Medicine in Omics, Journal Year: 2024, Volume and Issue: 12, P. 100033 - 100033

Published: Jan. 13, 2024

Tuberculosis (TB) continues to be a global health problem due its high morbidity and death rates. Standardized regimens have been used in traditional TB treatment methods, frequently leading less-than-ideal results the establishment of drug-resistant strains. The development personalized medicine provides potentially effective remedy individual patients' by adjusting therapeutic approaches particular genotypic phenotypic traits. Detecting strains, drug resistance indicators, host genetic variants that affect is made possible genomic molecular diagnostic approaches. These developments offer helpful information for predicting therapy outcomes choosing best plan each individual. Integrating data, such as clinical characteristics, immunological state, comorbidities, improves decision-making accuracy. use targeted therapies, innovative anti-TB medicines repurposed medications, which potential overcome boost effectiveness, can guided therapy. Personalized interventions based on factors improve patient identifying those at risk failure or disease progression. This article discusses importance patients. It specifically highlights benefits using "omics" data enhance decrease resistance.

Language: Английский

You Are What You Eat: Application of Metabolomics Approaches to Advance Nutrition Research DOI Creative Commons
Abdul‐Hamid Emwas,

Nahla Al-Rifai,

Kacper Szczepski

et al.

Foods, Journal Year: 2021, Volume and Issue: 10(6), P. 1249 - 1249

Published: May 31, 2021

A healthy condition is defined by complex human metabolic pathways that only function properly when fully satisfied nutritional inputs. Poor intakes are associated with a number of diseases, such as diabetes, obesity, atherosclerosis, hypertension, and osteoporosis. In recent years, nutrition science has undergone an extraordinary transformation driven the development innovative software analytical platforms. However, complexity variety chemical components present in different food types, diversity interactions biochemical networks biological systems, makes research complicated field. Metabolomics "-omic", joining proteomics, transcriptomics, genomics affording global understanding systems. this review, we main metabolomics approaches, highlight applications potential for approaches advancing research.

Language: Английский

Citations

52
The Role of Raman Spectroscopy Within Quantitative Metabolomics DOI Creative Commons
Cássio Lima, Howbeer Muhamadali, Royston Goodacre

et al.

Annual Review of Analytical Chemistry, Journal Year: 2021, Volume and Issue: 14(1), P. 323 - 345

Published: April 7, 2021

Ninety-four years have passed since the discovery of Raman effect, and there are currently more than 25 different types Raman-based techniques. The past two decades witnessed blossoming spectroscopy as a powerful physicochemical technique with broad applications within life sciences. In this review, we critique use tool for quantitative metabolomics. We overview recent developments identification quantification disease biomarkers in liquid biopsies, focus on advances surface-enhanced scattering-based methods. Ultimately, discuss imaging modalities based scattering label-free methods to study abundance distribution biomolecules cells tissues, including mammalian, algal, bacterial cells.

Language: Английский

Citations

51
Integration of Omics Tools for Understanding the Fish Immune Response Due to Microbial Challenge DOI Creative Commons

Maya Erna Natnan,

Chen‐Fei Low, Chou Min Chong

et al.

Frontiers in Marine Science, Journal Year: 2021, Volume and Issue: 8

Published: June 21, 2021

Nowadays, fish production through aquaculture and wild capture is escalating due to the higher protein demand for human consumption. Thus, needs products be improved in scale quality are becoming increasingly important meet nutrition requirements. The negative impacts caused by pathogens infection both hatchery grow-out ponds, have resulted low productivity economic losses farmers. Therefore, a systematic study exploring relevant omics datasets systems biology approach will enable scientist describe complexity characteristics of interactions host-pathogen network, leading identifying new targets or biomarkers diseases bacteria, viruses, parasites. use different approaches emerging technologies as powerful tool obtaining knowledge sustainable has been applied many researchers over years. In this paper, several used assess immune response were reviewed. A brief description provided applicable aquacultures, such genomics, transcriptomics, proteomics, metabolomics. Each contributes develop better treatment prevention strategies overcome disease microbial infections. genomics transcriptomics analysis, their parallel involving gene expression studies play role immune-related genes host, infectious diseases. While proteomics metabolomics approaches, these provide information on biomarker discovery understanding biosynthetic pathway during pathogen infection. Additionally, examples integrative analysis multi-omics tools required understand biological aquatic animals especially fish, also provided.

Language: Английский

Citations

48
Metabolomic and elemental profiling of blood serum in bladder cancer DOI Creative Commons
Krzysztof Ossoliński, Tomasz Ruman, Valérie Copié

et al.

Journal of Pharmaceutical Analysis, Journal Year: 2022, Volume and Issue: 12(6), P. 889 - 900

Published: Sept. 2, 2022

Bladder cancer (BC) is one of the most frequently diagnosed types urinary cancer. Despite advances in treatment methods, no specific biomarkers are currently use. Targeted and untargeted profiling metabolites elements human blood serum from 100 BC patients same number normal controls (NCs), with external validation, was attempted using three analytical i.e., nuclear magnetic resonance, gold silver-109 nanoparticle-based laser desorption/ionization mass spectrometry (LDI-MS), inductively coupled plasma optical emission (ICP-OES). All results were subjected to multivariate statistical analysis. Four potential BC, namely, isobutyrate, pyroglutamate, choline, acetate, quantified proton which had excellent predictive ability as judged by area under curve (AUC) value 0.999. Two elements, Li Fe, also found distinguish between control samples, ICP-OES data AUC 0.807 (in validation set). Twenty-five putatively identified compounds, mostly related glycans lipids, differentiated NCs, detected LDI-MS. Five discriminate tumor grades nine stages. The different platforms demonstrate that distinct metal have be used for noninvasive detection, staging, grading BC.

Language: Английский

Citations

30
Omics technologies to understand drug toxicity mechanisms DOI Creative Commons
Nhan Nguyen, Danyel Jennen,

Jos Kleinjans

et al.

Drug Discovery Today, Journal Year: 2022, Volume and Issue: 27(11), P. 103348 - 103348

Published: Sept. 8, 2022

Drug side effects are an important study subject in pharmacology. Recent omics technologies provide a range of data and help to understand the biological mechanisms involved drug effects. These modern significant support all disciplines, including toxicology. In this review, we overview use applications at molecular level. We discuss by available technologies, their possible uses, as well advantages limitations.

Language: Английский

Citations

30
Current State and Future Perspectives on Personalized Metabolomics DOI Creative Commons
Oxana P. Trifonova, Dmitry L. Maslov, Elena E. Balashova

et al.

Metabolites, Journal Year: 2023, Volume and Issue: 13(1), P. 67 - 67

Published: Jan. 1, 2023

Metabolomics is one of the most promising ‘omics’ sciences for implementation in medicine by developing new diagnostic tests and optimizing drug therapy. Since metabolomics, end products biochemical processes an organism are studied, which under influence both genetic environmental factors, metabolomics analysis can detect any changes associated with lifestyle pathological processes. Almost every case-controlled study shows a high accuracy. Taking into account that already described nosologies, there prerequisites high-speed comprehensive metabolite will replace, near future, narrow range chemical analyses used today, medical community. However, despite perspectives personalized currently no FDA-approved tests. The well-known problem complexity data their interpretation end-users, addition to traditional need analytical methods address quality control, standardization, treatment reported review. Possible ways solve problems change situation introduction clinical practice, also discussed.

Language: Английский

Citations

19
Evaluating LC-HRMS metabolomics data processing software using FAIR principles for research software DOI
Xinsong Du, Farhad Dastmalchi, Hao Ye

et al.

Metabolomics, Journal Year: 2023, Volume and Issue: 19(2)

Published: Feb. 6, 2023

Language: Английский

Citations

19
Metabolomics facilitates differential diagnosis in common inherited retinal degenerations by exploring their profiles of serum metabolites DOI Creative Commons
Wei-Chieh Wang, Chu‐Hsuan Huang, Hsin‐Hsiang Chung

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: April 26, 2024

The diagnosis of inherited retinal degeneration (IRD) is challenging owing to its phenotypic and genotypic complexity. Clinical information important before a genetic made. Metabolomics studies the entire picture bioproducts, which are determined using codes biological reactions. We demonstrated that common diagnoses IRD, including retinitis pigmentosa (RP), cone-rod dystrophy (CRD), Stargardt disease (STGD), Bietti's crystalline (BCD), could be differentiated based on their metabolite heatmaps. Hundreds metabolites were identified in volcano plot compared with control group every IRD except BCD, considered as potential diagnosing markers. phenotypes CRD STGD overlapped but by metabolomic features assistance machine learning model 100% accuracy. Moreover, EYS-, USH2A-associated, other RP, sharing considerable similar characteristics clinical findings, also diagnosed 85.7% Further study would needed validate results an external dataset. By incorporating mass spectrometry learning, metabolomics-based diagnostic workflow for molecular was proposed our study.

Language: Английский

Citations

6
Heavy metal exposure and metabolomics analysis: an emerging frontier in environmental health DOI

Kainat Ilyas,

Hajra Iqbal,

Muhammad Sajid Hamid Akash

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(26), P. 37963 - 37987

Published: May 23, 2024

Language: Английский

Citations

6
Toxicometabolomics: Small Molecules to Answer Big Toxicological Questions DOI Creative Commons
Ana Margarida Araújo, Félix Carvalho, Paula Guedes de Pinho

et al.

Metabolites, Journal Year: 2021, Volume and Issue: 11(10), P. 692 - 692

Published: Oct. 9, 2021

Given the high biological impact of classical and emerging toxicants, a sensitive comprehensive assessment hazards risks these substances to organisms is urgently needed. In this sense, toxicometabolomics emerged as new growing field in life sciences, which use metabolomics provide sets susceptibility, exposure, and/or effects biomarkers; characterize detail metabolic responses altered pathways that various stressful stimuli cause many organisms. The present review focuses on analytical platforms typical workflow employed toxicometabolomic studies, gives an overview recent exploratory research applied areas toxicology.

Language: Английский

Citations

39